<html><head><title>Data Scientist - Folsom, CA 95630</title></head>
<body><h2>Data Scientist - Folsom, CA 95630</h2>
<p><b>The Company</b></p>
<p>MYCOM OSI is a leading telecom software vendor providing network and service management solutions (Service Assurance, Automation and Analytics) to leading Communications Service Providers (CSPs) including 8 out of 10 of the world’s largest global CSP groups such as Vodafone, Telefonica and Deutsche Telekom. Our software manages the network and service quality of over 2 billion subscribers, the world’s largest 4G network, the world’s largest VoLTE service and the world’s fastest mobile network.</p>
<p>MYCOM OSI has been at the forefront of innovation, trusted by the world's leading CSPs for over 25 years. With today’s global transformation to digital, we are again leading the industry with innovations in NFV/SDN/Telco Cloud, 5G and the Internet of Things. We are assuring the world’s first Telco Cloud at Three UK and we recently launched the world’s first carrier-grade service assurance SaaS offering, embedding state-of-the-art cloud and open source technologies that have been recognized with numerous awards including the prestigious TM Forum Excellence Award for Operational Transformation &amp; Agility.</p>
<p>With a global presence, approximately 250 employees and a long history of successful customer projects, we have established ourselves as the leading provider of Service Assurance to Tier-1 CSPs and we are currently unique in pioneering service assurance SaaS as the market transitions from an on-premise to a cloud-based software model.</p>
<p>MYCOM OSI company culture rewards innovation, continual learning, agility and customer success. Our employees repeatedly cite “collaboration” and “diversity” as key values they appreciate at MYCOM OSI. Our financial targets and growth are very ambitious and we are looking for new talent, which can help us achieve these goals.</p>
<p><b>The Role</b></p>
<p><b>Job Title</b> - Data Scientist</p>
<p><b>Location</b> - Folsom, US</p>
<p><b>Main purpose of role</b></p>
<p>The Data Scientist contributes to MYCOM OSI’s success by executing Data Science and putting in place the data science practice within the organization while collaborating with telecommunications customers, partners, product managers, software architects and engineers across the globe to develop, manage, and improve the outputs of Descriptive, Predictive and Prescriptive models and statistical analysis to ultimately develop a machine learning and artificial intelligence product line fuelling the rest of the MYCOM OSI product portfolio. The model outputs will allow customers to better predict and automate repetitive service assurance tasks like predicting failures/bottlenecks and root causes.</p>
<p><b>Key Role Responsibilities</b></p>
<p>You will be leading and pioneering the exploration, development and evaluation of new algorithms and technologies to resolve specific business problems related to our industry. With the objective of taking the AI/ML research studies and results from concept to production-quality code ready for deployments at our customers. Our projects cover many fields of computer science including supervised &amp; unsupervised machine learning, natural language processing, anomaly detection and graph theory.</p>
<p>It is a great opportunity for you to discover a fast ever moving Telco industry and where the AI/ML is a key promising and must have enabler to address industry challenges. We are creating our Data scientist department and you will be playing a strategic role in the digital transformation and disruptive innovation we are creating.</p>
<p>Who we are looking for people:</p>
<ul><li>Eager to learn attitude for logical problem solving skills</li><li>Enthusiastic, can-do attitude who can work independently as well as contribute with the team</li><li>Strong communication skills both within and outside teams</li><li>Demonstrable software engineering experience from previous internship, work experience, coding competitions, or publications preferably in Java, Python, Spark or KNIME as a plus</li><li>Any involvement in a project to implement a machine learning model from scratch would be a distinct advantage</li></ul><p>Responsibilities and essential job functions include but are not limited to the following:</p>
<ul><li>Designs experiments, test hypotheses, and build descriptive, predictive and prescriptive analytics models fulfilling well defined Telecoms Assurance, Analytics and Automation use cases making use of classical and advanced machine learning and neural networks algorithms and approaches</li><li>Works with internal and external stakeholders to identify/detail the requirements/use cases and the expected outcome both technical and business</li><li>Manage ML/AI Proof Of Concepts projects with strategic customer and prospects through a scientific and well documented approach allowing to report on advancements and results to internal and external stakeholders having no data science skills</li><li>Leads advanced data analysis and complex designs through carefully selected tools aligned and integrated with MYCOM OSI product architecture and architectural vision Works with and alongside Product Line Managers/Subject Matter Experts/Solution Architects as domain data knowledge reference and to formulate product/solution strategies (integration, business processes, operationalization)</li><li>Collaborate with R&amp;D Software Architects/Developers and contribute to the integration design and implementation between Data Science / analytics engine and other MYCOM OSI Software components driven by end-to-end analytics use cases</li><li>Evangelize and train MYCOM OSI developers and Engineers to applied use of AI/ML techniques and selected tools and overall be the referent across the organization for AI/ML related</li><li>Monitor and possibly participate to IT and Telecom Standard Organization and Open Source Software projects contributing to defining standard Analytics Models, APIs and promoting MYCOM OSI AI/ML driven Use Cases if necessary</li></ul><p><b>The Person</b></p>
<p><b>Skills (technical and non-technical) &amp; Qualifications</b></p>
<p><b>Must have</b></p>
<ul><li>Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness</li><li>Cutting edge experience with cloud based and Big Data advanced predictive modeling and statistical analysis tools being integrated with other software systems using heterogeneous querying and API methods</li><li>Experience in applied data analysis, particularly in applied predictive modeling and statistical analysis solving descriptive, predictive and ideally prescriptive analytics use cases</li><li>Ability to apply knowledge of statistical and mathematical principles to achieve and scientifically demonstrate successful use case outcomes</li><li>Demonstrated experience in using supervised, un-supervised and re-enforcement Machine Learning and Neural Networks algorithms not only in laboratory and experimentation context but commercial and applied applications</li><li>Experience in R statistical modelling language, SCALA and PYTHON and overall familiarity with programing principles and best practices</li><li>Effectively communicate both orally and in writing with adaptability to various levels of knowledge and seniority</li><li>Successfully balance multiple competing priorities and meet deadlines</li><li>Strong attention to detail</li><li>Strong analytical skills</li><li>Proficient in MS Office</li></ul><p><b>Preferable</b></p>
<ul><li>Working knowledge of the telecommunications and networking/IT industry and technologies within fixed and mobile communications</li><li>Significant experience with event and time-series data analytics</li><li>Exposed to Closed-loop and re-enforcement learning involving a strong level of interaction with other systems</li><li>Familiar with software Policy Management principles</li><li>Familiarity with cloud computing and big data technologies</li><li>Experience with version control platforms (git, svn, etc.)</li><li>Developed skills using Apache Spark Machine Learning Language</li></ul><p><b>Experience &amp; Expertise</b></p>
<ul><li>Experience with statistical software</li><li>Undergraduate or advanced degree in Statistics, Mathematics, or a related quantitative field</li><li>Completed formal training in statistical and mathematical theory</li></ul><p><b>Key competencies</b></p>
<ul><li>Customer Oriented Diagnostic Information Gathering</li><li>Analytical, Forward and Conceptual Thinking</li><li>Communication</li><li>Influencing Others</li><li>Results Oriented with attention to detail</li><li>Financial Awareness</li></ul></body>
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